{"as_of":"2026-08-09T17:23:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:e5fb402167944950f211028cf98da8d8b2571b5e6c5bcdfcd0bf186897d970f3","coverage":[{"denominator":30,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":30,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-12T13:53:50.979339Z","state":"measured"},{"denominator":30,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":30,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2606.16149/citation-record","integrity":"/paper/2606.16149/integrity","json":"/paper/2606.16149/citation-record.json","paper":"/paper/2606.16149"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T13:53:50.979339Z","title":"Lambert, Annie Olry, Charlotte Rodwell, Charlotte Gueydan, ValérieLanneau, DanielMurphy, YannLeCam, andAnaRath","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2606.16149","last_updated":"2026-07-09T08:06:50Z","snapshot_observed_at":"2026-08-08T20:09:27.886404Z","submitted_at":"2026-06-15T03:10:17Z","title":"LiteOdyssey: A Lightweight Reasoning AI Agent for Interpretable Rare-Disease Diagnosis","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-07-12T13:53:50.979339Z"},"links":{"citing_paper":"/paper/2606.16149"},"observation_digest":"sha256:d482a6a9d69c88dce00f2d0b11240f39fc22d18be6b07ecc3ef57352f62bcdb1","observation_id":"8cbcf2d7-834f-4eac-90ab-dcbf4de19e3e","resolution":{"observed_at":"2026-07-12T13:53:50.979339Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1016/s0140-6736(08)60872-7","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Why rare diseases are an important medical and social issue.The Lancet, 371(9629):2039–2041, June 2008","venue":"The Lancet","work_id":"dc35f6bd-3dec-44e8-81ac-039e196a9b87","year":2039},"citing_paper":{"arxiv_id":"2606.16149","last_updated":"2026-07-09T08:06:50Z","snapshot_observed_at":"2026-08-08T20:09:27.886404Z","submitted_at":"2026-06-15T03:10:17Z","title":"LiteOdyssey: A Lightweight Reasoning AI Agent for Interpretable Rare-Disease Diagnosis","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-07-12T13:53:50.979339Z"},"links":{"citing_paper":"/paper/2606.16149"},"observation_digest":"sha256:c9e41d3d4d16bc42dd36ae932a17b83dd01cd168e940d5b1d62f4f1c6b27ec44","observation_id":"07eff1d8-0c5c-4615-9a69-b196b0971940","resolution":{"observed_at":"2026-07-12T13:58:51.990976Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.64898/2026.03.26.26349194","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Cassini, Fan Ma, Rizwan Hamid, Lisa Bas- tarache, Josh F","venue":"medRxiv","work_id":"9b2189a5-fb23-4669-8499-5a19e4e6bda5","year":2026},"citing_paper":{"arxiv_id":"2606.16149","last_updated":"2026-07-09T08:06:50Z","snapshot_observed_at":"2026-08-08T20:09:27.886404Z","submitted_at":"2026-06-15T03:10:17Z","title":"LiteOdyssey: A Lightweight Reasoning AI Agent for Interpretable Rare-Disease Diagnosis","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-07-12T13:53:50.979339Z"},"links":{"citing_paper":"/paper/2606.16149"},"observation_digest":"sha256:4a834211b7004a5ce07a80de2dd64df940dbdbddd3d96a82f1a6d07a44815c31","observation_id":"324781c1-0e76-4f84-b267-46dd61147e1b","resolution":{"observed_at":"2026-07-12T13:58:52.052095Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T13:53:50.979339Z","title":"The Human Phenotype Ontology: A Tool for Annotating and Analyzing Human Hereditary Disease.The American Journal of Human Genetics, 83(5):610–615, November 2008","venue":null,"work_id":null,"year":2008},"citing_paper":{"arxiv_id":"2606.16149","last_updated":"2026-07-09T08:06:50Z","snapshot_observed_at":"2026-08-08T20:09:27.886404Z","submitted_at":"2026-06-15T03:10:17Z","title":"LiteOdyssey: A Lightweight Reasoning AI Agent for Interpretable Rare-Disease Diagnosis","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-07-12T13:53:50.979339Z"},"links":{"citing_paper":"/paper/2606.16149"},"observation_digest":"sha256:95db3c8fd7e5bdd5cdddae0d6078ad64db3053d5e83dc3b4b57b60ddec3f35a4","observation_id":"9f3a2181-d12e-42eb-97a5-161f6fcb0392","resolution":{"observed_at":"2026-07-12T13:53:50.979339Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T13:53:50.979339Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.16149","last_updated":"2026-07-09T08:06:50Z","snapshot_observed_at":"2026-08-08T20:09:27.886404Z","submitted_at":"2026-06-15T03:10:17Z","title":"LiteOdyssey: A Lightweight Reasoning AI Agent for Interpretable Rare-Disease Diagnosis","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-07-12T13:53:50.979339Z"},"links":{"citing_paper":"/paper/2606.16149"},"observation_digest":"sha256:a57f2a2f409e93fe5e100c3fb1defa1d16f1ee8f713a337763c9238bc89221f9","observation_id":"a97db780-7696-4ef1-b661-74e6a4b9ebf4","resolution":{"observed_at":"2026-07-12T13:53:50.979339Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1038/nprot.2015.124","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Next-generation diagnostics and disease-gene discovery with the Exomiser.Nature Protocols, 10(12):2004–2015, November 2015","venue":"Nature Protocols","work_id":"34b9ccfd-0dd7-485c-acec-cef8762963e6","year":2004},"citing_paper":{"arxiv_id":"2606.16149","last_updated":"2026-07-09T08:06:50Z","snapshot_observed_at":"2026-08-08T20:09:27.886404Z","submitted_at":"2026-06-15T03:10:17Z","title":"LiteOdyssey: A Lightweight Reasoning AI Agent for Interpretable Rare-Disease Diagnosis","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-07-12T13:53:50.979339Z"},"links":{"citing_paper":"/paper/2606.16149"},"observation_digest":"sha256:bb6b05f9667c4f99e2af810fa77798b2b1e8c56f3aa9a87266d1733cd0e12ef0","observation_id":"4e7edf5d-cd08-4199-8485-579604570eb9","resolution":{"observed_at":"2026-07-12T13:58:52.028821Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.07881","last_updated":"2025-04-11T07:26:43Z","snapshot_observed_at":"2026-08-08T20:09:46.861785Z","submitted_at":"2025-04-10T15:55:34Z","title":"An LLM-Driven Multi-Agent Debate System for Mendelian Diseases","version":2},"cited_work":{"arxiv_id":"2504.07881","doi":"10.48550/arxiv.2504.07881","metadata_source":"pith","pith_arxiv_id":"2504.07881","snapshot_observed_at":"2026-08-05T02:49:54.815029Z","title":"An LLM-Driven Multi-Agent Debate System for Mendelian Diseases","venue":"q-bio.GN","work_id":"4be81a27-05e4-428c-b037-2a9589814623","year":2025},"citing_paper":{"arxiv_id":"2606.16149","last_updated":"2026-07-09T08:06:50Z","snapshot_observed_at":"2026-08-08T20:09:27.886404Z","submitted_at":"2026-06-15T03:10:17Z","title":"LiteOdyssey: A Lightweight Reasoning AI Agent for Interpretable Rare-Disease Diagnosis","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-07-12T13:53:50.979339Z"},"links":{"cited_paper":"/paper/2504.07881","citing_paper":"/paper/2606.16149"},"observation_digest":"sha256:35e4e5ebb734372d9695dca96bc1d08cb42cf064ea20dfff1e2f4bebf785e206","observation_id":"13ae30c2-60f8-4339-be0e-b7faab5a4924","resolution":{"observed_at":"2026-07-12T13:58:51.997239Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2511.02263","doi":"10.48550/arxiv.2511.02263","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"LA-MARRVEL: A Knowledge- Grounded, Language-Aware LLM Framework for Clinically Robust Rare Disease Gene Prioriti- zation","venue":"arXiv (Cornell University)","work_id":"739528a6-f5c5-4f62-9fd9-8553c2d3ef9b","year":2025},"citing_paper":{"arxiv_id":"2606.16149","last_updated":"2026-07-09T08:06:50Z","snapshot_observed_at":"2026-08-08T20:09:27.886404Z","submitted_at":"2026-06-15T03:10:17Z","title":"LiteOdyssey: A Lightweight Reasoning AI Agent for Interpretable Rare-Disease Diagnosis","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-07-12T13:53:50.979339Z"},"links":{"citing_paper":"/paper/2606.16149"},"observation_digest":"sha256:4e29f870164ac9d3561266c4ffa94c52f811d3740837e72a0ae1dd1ae2ff66e0","observation_id":"7644b8f8-2728-48d1-b4ed-5b8657d0710a","resolution":{"observed_at":"2026-07-12T13:58:52.012788Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T13:53:50.979339Z","title":"A Specialized Large Language Model for Clinical Reasoning and Diagnosis in Rare Diseases","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.16149","last_updated":"2026-07-09T08:06:50Z","snapshot_observed_at":"2026-08-08T20:09:27.886404Z","submitted_at":"2026-06-15T03:10:17Z","title":"LiteOdyssey: A Lightweight Reasoning AI Agent for Interpretable Rare-Disease Diagnosis","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-07-12T13:53:50.979339Z"},"links":{"citing_paper":"/paper/2606.16149"},"observation_digest":"sha256:b47c19d7594ff2680ee9b2a493c2a59a9312448aa3bfffb59bb0e32938c5e356","observation_id":"f1e7106f-b962-4e9b-93d2-c02295ba218d","resolution":{"observed_at":"2026-07-12T13:53:50.979339Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2511.14638","doi":"10.48550/arxiv.2511.14638","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"URL https://arxiv.org/abs/2511.14638","venue":"arXiv (Cornell University)","work_id":"d02f355c-e585-414c-8ce7-cc60e37442bd","year":null},"citing_paper":{"arxiv_id":"2606.16149","last_updated":"2026-07-09T08:06:50Z","snapshot_observed_at":"2026-08-08T20:09:27.886404Z","submitted_at":"2026-06-15T03:10:17Z","title":"LiteOdyssey: A Lightweight Reasoning AI Agent for Interpretable Rare-Disease Diagnosis","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-07-12T13:53:50.979339Z"},"links":{"citing_paper":"/paper/2606.16149"},"observation_digest":"sha256:4c623b45cb60207ace6b043de463015234a9b287fea88e855cb4277dae2d1a15","observation_id":"99f222ed-f131-47b2-98ad-bedca34aa539","resolution":{"observed_at":"2026-07-12T13:58:52.006973Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T13:53:50.979339Z","title":"An agentic system for rare disease diagnosis with traceable reasoning.Nature, 651 (8106):775–784, February 2026","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2606.16149","last_updated":"2026-07-09T08:06:50Z","snapshot_observed_at":"2026-08-08T20:09:27.886404Z","submitted_at":"2026-06-15T03:10:17Z","title":"LiteOdyssey: A Lightweight Reasoning AI Agent for Interpretable Rare-Disease Diagnosis","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-07-12T13:53:50.979339Z"},"links":{"citing_paper":"/paper/2606.16149"},"observation_digest":"sha256:d85a77e0877e6c80fc0ae3fa34663f979ab786034f885e633c2a435bea72275f","observation_id":"f3edf099-2582-4568-9c21-8d6336c5eb94","resolution":{"observed_at":"2026-07-12T13:53:50.979339Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T13:53:50.979339Z","title":"RareAgents: Autonomous Multi-disciplinary Team for Rare Disease Diagnosis and Treat- ment","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.16149","last_updated":"2026-07-09T08:06:50Z","snapshot_observed_at":"2026-08-08T20:09:27.886404Z","submitted_at":"2026-06-15T03:10:17Z","title":"LiteOdyssey: A Lightweight Reasoning AI Agent for Interpretable Rare-Disease Diagnosis","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-07-12T13:53:50.979339Z"},"links":{"citing_paper":"/paper/2606.16149"},"observation_digest":"sha256:600e6461eedb22d7120fd68fff133e1f2d9ca4830dbd853affc02ae79cbd52c9","observation_id":"fec7cff2-c15f-47b9-8831-d895aa7f1b40","resolution":{"observed_at":"2026-07-12T13:53:50.979339Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.19175","last_updated":"2025-06-13T13:50:34Z","snapshot_observed_at":"2026-08-07T17:46:04.786459Z","submitted_at":"2025-02-26T14:31:43Z","title":"MEDDxAgent: A Unified Modular Agent Framework for Explainable Automatic Differential Diagnosis","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.19175","snapshot_observed_at":"2026-07-12T13:53:50.979339Z","title":"MEDDxAgent: A Unified Modular Agent Framework for Explainable Automatic Differential Diagnosis","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.16149","last_updated":"2026-07-09T08:06:50Z","snapshot_observed_at":"2026-08-08T20:09:27.886404Z","submitted_at":"2026-06-15T03:10:17Z","title":"LiteOdyssey: A Lightweight Reasoning AI Agent for Interpretable Rare-Disease Diagnosis","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-07-12T13:53:50.979339Z"},"links":{"cited_paper":"/paper/2502.19175","citing_paper":"/paper/2606.16149"},"observation_digest":"sha256:2fe4c7ff9f7808dcbb4fee55b6f163818bab7c4642954c6c5739669759ec768a","observation_id":"51e475ff-781a-47aa-a05b-c3ea68a54336","resolution":{"observed_at":"2026-07-12T13:53:50.979339Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T13:53:50.979339Z","title":"End-to-End Agentic RAG System Training for Traceable Diagnostic Reasoning","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.16149","last_updated":"2026-07-09T08:06:50Z","snapshot_observed_at":"2026-08-08T20:09:27.886404Z","submitted_at":"2026-06-15T03:10:17Z","title":"LiteOdyssey: A Lightweight Reasoning AI Agent for Interpretable Rare-Disease Diagnosis","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-07-12T13:53:50.979339Z"},"links":{"citing_paper":"/paper/2606.16149"},"observation_digest":"sha256:7c4019be685495a0da1d8fd50d2cda8f63eb3e7bbea819e4d008ed2bed537a89","observation_id":"563cb212-441f-4311-91d8-1db3663dea14","resolution":{"observed_at":"2026-07-12T13:53:50.979339Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.15155","last_updated":"2024-10-30T02:32:43Z","snapshot_observed_at":"2026-08-08T01:58:32.346151Z","submitted_at":"2024-04-22T06:30:05Z","title":"MDAgents: An Adaptive Collaboration of LLMs for Medical Decision-Making","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.15155","snapshot_observed_at":"2026-07-12T13:53:50.979339Z","title":"MDAgents: An Adaptive Collaboration of LLMs for Medical Decision-Making","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.16149","last_updated":"2026-07-09T08:06:50Z","snapshot_observed_at":"2026-08-08T20:09:27.886404Z","submitted_at":"2026-06-15T03:10:17Z","title":"LiteOdyssey: A Lightweight Reasoning AI Agent for Interpretable Rare-Disease Diagnosis","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-07-12T13:53:50.979339Z"},"links":{"cited_paper":"/paper/2404.15155","citing_paper":"/paper/2606.16149"},"observation_digest":"sha256:f1a15e374fb253be7bb45a18b9cdc44a74e8e979be2de0888948fe572ae11af1","observation_id":"76fc50c5-a57b-422c-9f44-2a20a1b2c447","resolution":{"observed_at":"2026-07-12T13:53:50.979339Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2210.03821","last_updated":"2023-08-13T18:27:52Z","snapshot_observed_at":"2026-08-09T10:00:08.313276Z","submitted_at":"2022-10-07T21:18:22Z","title":"Large Language Models can Implement Policy Iteration","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.03821","snapshot_observed_at":"2026-07-12T13:53:50.979339Z","title":"Lewis, and Satinder Singh","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2606.16149","last_updated":"2026-07-09T08:06:50Z","snapshot_observed_at":"2026-08-08T20:09:27.886404Z","submitted_at":"2026-06-15T03:10:17Z","title":"LiteOdyssey: A Lightweight Reasoning AI Agent for Interpretable Rare-Disease Diagnosis","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-07-12T13:53:50.979339Z"},"links":{"cited_paper":"/paper/2210.03821","citing_paper":"/paper/2606.16149"},"observation_digest":"sha256:87911566520e6f6349266effb681957e957f189a6dfa2097d6609a038bdee762","observation_id":"b41cc84e-584a-4778-984d-0928e30268b6","resolution":{"observed_at":"2026-07-12T13:53:50.979339Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.11366","last_updated":"2023-10-10T05:21:45Z","snapshot_observed_at":"2026-07-06T15:05:53.556198Z","submitted_at":"2023-03-20T18:08:50Z","title":"Reflexion: Language Agents with Verbal Reinforcement Learning","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.11366","snapshot_observed_at":"2026-07-12T13:53:50.979339Z","title":"Reflexion: Language Agents with Verbal Reinforcement Learning","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2606.16149","last_updated":"2026-07-09T08:06:50Z","snapshot_observed_at":"2026-08-08T20:09:27.886404Z","submitted_at":"2026-06-15T03:10:17Z","title":"LiteOdyssey: A Lightweight Reasoning AI Agent for Interpretable Rare-Disease Diagnosis","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-07-12T13:53:50.979339Z"},"links":{"cited_paper":"/paper/2303.11366","citing_paper":"/paper/2606.16149"},"observation_digest":"sha256:6e97da2c6192fd6af4479c3981afa345ea0f7218f06f649d8df08e3b01f68a80","observation_id":"6a8c44bb-1e88-462d-a85f-d2912ab59532","resolution":{"observed_at":"2026-07-12T13:53:50.979339Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.17346","last_updated":"2024-05-27T16:49:29Z","snapshot_observed_at":"2026-07-06T18:20:44.070255Z","submitted_at":"2024-05-27T16:49:29Z","title":"Prompt Optimization with Human Feedback","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.17346","snapshot_observed_at":"2026-07-12T13:53:50.979339Z","title":"Prompt Optimization with Human Feedback","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.16149","last_updated":"2026-07-09T08:06:50Z","snapshot_observed_at":"2026-08-08T20:09:27.886404Z","submitted_at":"2026-06-15T03:10:17Z","title":"LiteOdyssey: A Lightweight Reasoning AI Agent for Interpretable Rare-Disease Diagnosis","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-07-12T13:53:50.979339Z"},"links":{"cited_paper":"/paper/2405.17346","citing_paper":"/paper/2606.16149"},"observation_digest":"sha256:f68852ad8dbf509abe981717f9fa8f03371a5ad73441091abb10992635f0d5ff","observation_id":"64f0cfa4-71ea-431f-b402-deea27d8aa0d","resolution":{"observed_at":"2026-07-12T13:53:50.979339Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2506.06303","last_updated":"2026-04-24T20:21:17Z","snapshot_observed_at":"2026-08-08T00:44:07.717814Z","submitted_at":"2025-05-21T16:15:01Z","title":"Reward Is Enough: LLMs Are In-Context Reinforcement Learners","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2506.06303","snapshot_observed_at":"2026-07-12T13:53:50.979339Z","title":"Reward Is Enough: LLMs Are In-Context Reinforcement Learners","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.16149","last_updated":"2026-07-09T08:06:50Z","snapshot_observed_at":"2026-08-08T20:09:27.886404Z","submitted_at":"2026-06-15T03:10:17Z","title":"LiteOdyssey: A Lightweight Reasoning AI Agent for Interpretable Rare-Disease Diagnosis","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-07-12T13:53:50.979339Z"},"links":{"cited_paper":"/paper/2506.06303","citing_paper":"/paper/2606.16149"},"observation_digest":"sha256:da5bad41495d8fd0d17a00f08025c2e695adf3476125cb1a8468098cc7666a18","observation_id":"3e8ad091-96e9-460b-ae9f-b158530c476f","resolution":{"observed_at":"2026-07-12T13:53:50.979339Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.07978","last_updated":"2025-02-11T21:52:19Z","snapshot_observed_at":"2026-08-08T20:41:10.087154Z","submitted_at":"2025-02-11T21:52:19Z","title":"A Survey of In-Context Reinforcement Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.07978","snapshot_observed_at":"2026-07-12T13:53:50.979339Z","title":"A Survey of In-Context Reinforcement Learning","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.16149","last_updated":"2026-07-09T08:06:50Z","snapshot_observed_at":"2026-08-08T20:09:27.886404Z","submitted_at":"2026-06-15T03:10:17Z","title":"LiteOdyssey: A Lightweight Reasoning AI Agent for Interpretable Rare-Disease Diagnosis","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-07-12T13:53:50.979339Z"},"links":{"cited_paper":"/paper/2502.07978","citing_paper":"/paper/2606.16149"},"observation_digest":"sha256:77ae343df48e7eb3e9ba7e914cc94f719ac9ec81ed65d4fc8afccfd8cc64217d","observation_id":"b81742fe-e83e-4f47-9e00-b5a7fc03714a","resolution":{"observed_at":"2026-07-12T13:53:50.979339Z","resolver_source":null,"status":"malformed_identifier"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T13:53:50.979339Z","title":"In-Context Reinforcement Learning for Tool Use in Large Language Models","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2606.16149","last_updated":"2026-07-09T08:06:50Z","snapshot_observed_at":"2026-08-08T20:09:27.886404Z","submitted_at":"2026-06-15T03:10:17Z","title":"LiteOdyssey: A Lightweight Reasoning AI Agent for Interpretable Rare-Disease Diagnosis","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-07-12T13:53:50.979339Z"},"links":{"citing_paper":"/paper/2606.16149"},"observation_digest":"sha256:8cd6b0a8d89942ace6a16ea6f817a4b5134fcd3cd534f9fb32edde2ced4bbcd3","observation_id":"8bbbd786-9507-439e-b6bc-627f5ea94a7a","resolution":{"observed_at":"2026-07-12T13:53:50.979339Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2209.15189","last_updated":"2022-09-30T02:30:15Z","snapshot_observed_at":"2026-08-04T09:41:45.042008Z","submitted_at":"2022-09-30T02:30:15Z","title":"Learning by Distilling Context","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2209.15189","snapshot_observed_at":"2026-07-12T13:53:50.979339Z","title":"Learning by Distilling Context","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2606.16149","last_updated":"2026-07-09T08:06:50Z","snapshot_observed_at":"2026-08-08T20:09:27.886404Z","submitted_at":"2026-06-15T03:10:17Z","title":"LiteOdyssey: A Lightweight Reasoning AI Agent for Interpretable Rare-Disease Diagnosis","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-07-12T13:53:50.979339Z"},"links":{"cited_paper":"/paper/2209.15189","citing_paper":"/paper/2606.16149"},"observation_digest":"sha256:f6807e7168beacf78ded2d9622474507c288e664cf9fead84c060f057971fc99","observation_id":"1e7fea36-569e-4851-a290-89d780eaa74c","resolution":{"observed_at":"2026-07-12T13:53:50.979339Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2602.12275","last_updated":"2026-03-23T13:11:10Z","snapshot_observed_at":"2026-08-08T15:46:07.719139Z","submitted_at":"2026-02-12T18:58:28Z","title":"On-Policy Context Distillation for Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2602.12275","snapshot_observed_at":"2026-07-12T13:53:50.979339Z","title":"On-Policy Context Distillation for Language Models","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2606.16149","last_updated":"2026-07-09T08:06:50Z","snapshot_observed_at":"2026-08-08T20:09:27.886404Z","submitted_at":"2026-06-15T03:10:17Z","title":"LiteOdyssey: A Lightweight Reasoning AI Agent for Interpretable Rare-Disease Diagnosis","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-07-12T13:53:50.979339Z"},"links":{"cited_paper":"/paper/2602.12275","citing_paper":"/paper/2606.16149"},"observation_digest":"sha256:7116fc1ea61d1e61f197f8d20cbf0ed1420f9ccafceba9e369354252b9daa1cb","observation_id":"86f70702-3375-40fd-8fc0-279e2610d338","resolution":{"observed_at":"2026-07-12T13:53:50.979339Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T13:53:50.979339Z","title":"Doc-to- LoRA: Learning to Instantly Internalize Contexts","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2606.16149","last_updated":"2026-07-09T08:06:50Z","snapshot_observed_at":"2026-08-08T20:09:27.886404Z","submitted_at":"2026-06-15T03:10:17Z","title":"LiteOdyssey: A Lightweight Reasoning AI Agent for Interpretable Rare-Disease Diagnosis","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-07-12T13:53:50.979339Z"},"links":{"citing_paper":"/paper/2606.16149"},"observation_digest":"sha256:54ba8251c76cf84f5b723694287f5a89f35b2c89c9e0f32ef1ce15d62238a619","observation_id":"55e91325-de8c-425a-bfe7-bc3c21467876","resolution":{"observed_at":"2026-07-12T13:53:50.979339Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T13:53:50.979339Z","title":"Mungall, Julie A","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2606.16149","last_updated":"2026-07-09T08:06:50Z","snapshot_observed_at":"2026-08-08T20:09:27.886404Z","submitted_at":"2026-06-15T03:10:17Z","title":"LiteOdyssey: A Lightweight Reasoning AI Agent for Interpretable Rare-Disease Diagnosis","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-07-12T13:53:50.979339Z"},"links":{"citing_paper":"/paper/2606.16149"},"observation_digest":"sha256:04a90fffe27e064e0bb93d31886872ae25963a681f72439d08665a0419607a67","observation_id":"5bda4ce7-04fe-44d0-9159-cab7c0aaac32","resolution":{"observed_at":"2026-07-12T13:53:50.979339Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1093/nar/gku1205","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Amberger, Carol A","venue":"Nucleic Acids Research","work_id":"8906bb03-0ece-4e8e-831d-c33fe5def793","year":2014},"citing_paper":{"arxiv_id":"2606.16149","last_updated":"2026-07-09T08:06:50Z","snapshot_observed_at":"2026-08-08T20:09:27.886404Z","submitted_at":"2026-06-15T03:10:17Z","title":"LiteOdyssey: A Lightweight Reasoning AI Agent for Interpretable Rare-Disease Diagnosis","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-07-12T13:53:50.979339Z"},"links":{"citing_paper":"/paper/2606.16149"},"observation_digest":"sha256:da590a8625ab62ab472c3cc5f7024706a3996d9f708b8a67c805345c13e49755","observation_id":"bf885430-0e50-46e5-b252-e0f393a87015","resolution":{"observed_at":"2026-07-12T13:58:52.092579Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T13:53:50.979339Z","title":"Rehm, Jonathan S","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.16149","last_updated":"2026-07-09T08:06:50Z","snapshot_observed_at":"2026-08-08T20:09:27.886404Z","submitted_at":"2026-06-15T03:10:17Z","title":"LiteOdyssey: A Lightweight Reasoning AI Agent for Interpretable Rare-Disease Diagnosis","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-07-12T13:53:50.979339Z"},"links":{"citing_paper":"/paper/2606.16149"},"observation_digest":"sha256:b2920b87c8a1873a4f6e53540f0881e9283ec7b8d31c8fe6dc7271934f53620c","observation_id":"364871a9-10e9-4c28-814e-5d10067a997d","resolution":{"observed_at":"2026-07-12T13:53:50.979339Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1056/nejmsr1406261","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"doi: 10.1056/nejmsr1406261","venue":"New England Journal of Medicine","work_id":"ce0c312d-389e-4c8b-b8ad-7ebc169c9b47","year":null},"citing_paper":{"arxiv_id":"2606.16149","last_updated":"2026-07-09T08:06:50Z","snapshot_observed_at":"2026-08-08T20:09:27.886404Z","submitted_at":"2026-06-15T03:10:17Z","title":"LiteOdyssey: A Lightweight Reasoning AI Agent for Interpretable Rare-Disease Diagnosis","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-07-12T13:53:50.979339Z"},"links":{"citing_paper":"/paper/2606.16149"},"observation_digest":"sha256:70c363be70413e3b5a57a9214e703fecb0bdcade6ca9d28af71679601210b195","observation_id":"ea1e00ad-d719-484d-9b96-2d1ee3a10d21","resolution":{"observed_at":"2026-07-12T13:58:52.091117Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1038/s41586-020-2308-7","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Karczewski, Laurent C","venue":"Nature","work_id":"46221c1b-7390-4fa2-8ca5-79af1ddd2a93","year":2020},"citing_paper":{"arxiv_id":"2606.16149","last_updated":"2026-07-09T08:06:50Z","snapshot_observed_at":"2026-08-08T20:09:27.886404Z","submitted_at":"2026-06-15T03:10:17Z","title":"LiteOdyssey: A Lightweight Reasoning AI Agent for Interpretable Rare-Disease Diagnosis","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-07-12T13:53:50.979339Z"},"links":{"citing_paper":"/paper/2606.16149"},"observation_digest":"sha256:5c9a2fc07ad65dd93360cabb9f23c761e4ab61f59e4cd6a7ac50fbed209f8334","observation_id":"f327aea9-6fb6-48c5-b6f5-cffd443eaed4","resolution":{"observed_at":"2026-07-12T13:58:52.086485Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[{"edge_observation":{"observed_at":"2026-07-13T06:30:08.434269+00:00","source":"paper_reference_links","state":"open"},"event_date":"2021-02-03","event_type":"correction","notice_doi":"10.1038/s41586-020-03174-8","provenance":{"observed_at":"2026-07-11T02:58:38.07929+00:00","source":"crossref","source_record_id":"10.1038/s41586-020-03174-8->10.1038/s41586-020-2308-7:correction"}}],"reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T13:53:50.979339Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.16149","last_updated":"2026-07-09T08:06:50Z","snapshot_observed_at":"2026-08-08T20:09:27.886404Z","submitted_at":"2026-06-15T03:10:17Z","title":"LiteOdyssey: A Lightweight Reasoning AI Agent for Interpretable Rare-Disease Diagnosis","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-07-12T13:53:50.979339Z"},"links":{"citing_paper":"/paper/2606.16149"},"observation_digest":"sha256:f65738ba8785a46b3e935067d898bb626dd2e663d6a894cd72ef8854d6a8ad33","observation_id":"f0b29909-f738-4192-a154-ff7a905773d5","resolution":{"observed_at":"2026-07-12T13:53:50.979339Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2606.16149","last_updated":"2026-07-09T08:06:50Z","latest_version":2,"primary_category":"cs.AI","snapshot_observed_at":"2026-08-08T20:09:27.886404Z","submitted_at":"2026-06-15T03:10:17Z","title":"LiteOdyssey: A Lightweight Reasoning AI Agent for Interpretable Rare-Disease Diagnosis"},"reference_resolution":{"displayed":30,"state_counts":{"malformed_identifier":1,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":20,"verified_exact":9,"verified_fuzzy":0},"total_outbound_references":30},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2606.16149."}